An Empirical Sector-Specific Gravity Model for Hungarian International Trade

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F15%3A%230003660" target="_blank" >RIV/47813059:19520/15:#0003660 - isvavai.cz</a>

Výsledek na webu

<a href="http://acta.mendelu.cz/63/6/2145/" target="_blank" >http://acta.mendelu.cz/63/6/2145/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

An Empirical Sector-Specific Gravity Model for Hungarian International Trade

Popis výsledku v původním jazyce

This paper contributes to the economic literature on the impact of exchange rate volatility on Hungary's foreign trade. Basic gravity model shows that trade volume between a pair of countries is an increasing function of their sizes (GDP) and a decreasing function of the distance between them. Additional factors included in extended model are population, dummy for common border and proxy for exchange rate volatility. The measure of exchange rate volatility is estimated by GARCH model. This paper explores relationship between trade and exchange rate uncertainty using quarterly data over the period 1999:1 - 2014:3. In order to obtain the objective result, we use the panel data regression for 10 sectors of Hungarian international trade based on SITC classification and six major trading partners (Austria, Germany, France, United Kingdom, Italy and Poland). The significant parameters obtained from panel regression demonstrate that bilateral exchange rate volatility leads to a decrease in Hu

Název v anglickém jazyce

An Empirical Sector-Specific Gravity Model for Hungarian International Trade

Popis výsledku anglicky

This paper contributes to the economic literature on the impact of exchange rate volatility on Hungary's foreign trade. Basic gravity model shows that trade volume between a pair of countries is an increasing function of their sizes (GDP) and a decreasing function of the distance between them. Additional factors included in extended model are population, dummy for common border and proxy for exchange rate volatility. The measure of exchange rate volatility is estimated by GARCH model. This paper explores relationship between trade and exchange rate uncertainty using quarterly data over the period 1999:1 - 2014:3. In order to obtain the objective result, we use the panel data regression for 10 sectors of Hungarian international trade based on SITC classification and six major trading partners (Austria, Germany, France, United Kingdom, Italy and Poland). The significant parameters obtained from panel regression demonstrate that bilateral exchange rate volatility leads to a decrease in Hu

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AH - Ekonomie

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis

ISSN

1211-8516

e-ISSN

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Svazek periodika

63

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

6

Strana od-do

2145-2150

Kód UT WoS článku

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EID výsledku v databázi Scopus

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